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regression

Papers

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Showing 4451–4500 of 9424 papers

TitleStatusHype
Statistical optimality conditions for compressive ensembles—0
OctoPath: An OcTree Based Self-Supervised Learning Approach to Local Trajectory Planning for Mobile Robots—0
Deep Learning based Full-reference and No-reference Quality Assessment Models for Compressed UGC VideosCode1
PIHKers at CMCL 2021 Shared Task: Cosine Similarity and Surprisal to Predict Human Reading Patterns.—0
MTL782_IITD at CMCL 2021 Shared Task: Prediction of Eye-Tracking Features Using BERT Embeddings and Linguistic Features—0
LangResearchLab_NC at CMCL2021 Shared Task: Predicting Gaze Behaviour Using Linguistic Features and Tree Regressors—0
Sentence Complexity in Context—0
Uncertainty Characteristics Curves: A Systematic Assessment of Prediction IntervalsCode1
Stochastic Collapsed Variational Inference for Structured Gaussian Process Regression Network—0
Logistic Regression Through the Veil of Imprecise DataCode0
Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data—0
Markov Localisation using Heatmap Regression and Deep Convolutional Odometry—0
What's a good imputation to predict with missing values?Code0
Decision Concept Lattice vs. Decision Trees and Random Forests—0
Improving Conditional Coverage via Orthogonal Quantile RegressionCode1
Control Occupation Kernel Regression for Nonlinear Control-Affine Systems—0
Generalization Error Rates in Kernel Regression: The Crossover from the Noiseless to Noisy Regime—0
Regression-Adjusted Estimation of Quantile Treatment Effects under Covariate-Adaptive Randomizations—0
A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression—0
Empirical Models for Multidimensional Regression of Fission SystemsCode1
Support vector machines and linear regression coincide with very high-dimensional featuresCode0
VeniBot: Towards Autonomous Venipuncture with Automatic Puncture Area and Angle Regression from NIR Images—0
Towards a Better Understanding of Linear Models for Recommendation—0
OpReg-Boost: Learning to Accelerate Online Algorithms with Operator RegressionCode0
Quantile Encoder: Tackling High Cardinality Categorical Features in Regression ProblemsCode2
Lattice partition recovery with dyadic CARTCode0
General Game Heuristic Prediction Based on Ludeme Descriptions—0
An algorithm-based multiple detection influence measure for high dimensional regression using expectileCode0
Group selection and shrinkage: Structured sparsity for semiparametric additive models—0
Optimizing the location of vaccination sites to stop a zoonotic epidemic—0
Conformal Anomaly Detection on Spatio-Temporal Observations with Missing DataCode1
Optimal Sampling Density for Nonparametric Regression—0
Dense Regression Activation Maps For Lesion Segmentation in CT scans of COVID-19 patients—0
Scalable Cross Validation Losses for Gaussian Process Models—0
Uncertainty quantification for distributed regression—0
SiamRCR: Reciprocal Classification and Regression for Visual Object Tracking—0
Evaluating the Effect of Credit Collection Policy on Portfolio Quality of Micro-Finance Bank—0
Regularization Can Help Mitigate Poisoning Attacks... with the Right Hyperparameters—0
Skeleton-aware multi-scale heatmap regression for 2D hand pose estimation—0
A hybrid classification-regression approach for 3D hand pose estimation using graph convolutional networks—0
Machine Learning Regression based Single Event Transient Modeling Method for Circuit-Level Simulation—0
Automation for Interpretable Machine Learning Through a Comparison of Loss Functions to Regularisers—0
Scalable Quasi-Bayesian Inference for Instrumental Variable Regression—0
Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds and Benign Overfitting—0
-IoU: A Family of Power Intersection over Union Losses for Bounding Box RegressionCode1
Understanding Uncertainty in Bayesian Deep Learning—0
On Instrumental Variable Regression for Deep Offline Policy EvaluationCode0
A Precise Performance Analysis of Support Vector Regression—0
3D Human Pose Regression using Graph Convolutional NetworkCode0
LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-Resolution and BeyondCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.79—Unverified
2Baseline RegressionR2 Score0.58—Unverified
3Mimic / SurrogateR2 Score0.57—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.86—Unverified
2Baseline RegressionR2 Score0.59—Unverified
3Mimic / SurrogateR2 Score0.58—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.87—Unverified
2Baseline RegressionR2 Score0.78—Unverified
3Mimic / SurrogateR2 Score0.78—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.98—Unverified
2Baseline RegressionR2 Score-0.01—Unverified
3Mimic / SurrogateR2 Score-0.01—Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoost-MACCSmicro-averaged RMSE0.93—Unverified
2RF-ToxPrintchemical macro-average RMSE0.85—Unverified
#ModelMetricClaimedVerifiedStatus
1Linear and Decision Tree RegressionR Squared86.84—Unverified